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Base-10 Log and the Number of Digits in Numbers

2024-12-16

4 min

When preparing for quantitative trading interviews, you're bound to encounter seemingly simple mathematical concepts that have profound implications. One such concept is understanding why the base-10 logarithm of a number, log10(n)\log_{10}(n), effectively gives the number of digits in nn minus 1.

This idea might seem abstract at first, but it's a critical tool for mental math, time complexity analysis, and even number theory — all of which are relevant in quant trading interviews. In this post, we’ll break down why this happens, step-by-step, so you can walk into your next interview with confidence.

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Introduction

When preparing for quantitative trading interviews, you're bound to encounter seemingly simple mathematical concepts that have profound implications. One such concept is understanding why the base-10 logarithm of a number, log10(n)\log_{10}(n), effectively gives the number of digits in nn minus 1.

This idea might seem abstract at first, but it's a critical tool for mental math, time complexity analysis, and even number theory — all of which are relevant in quant trading interviews. In this post, we’ll break down why this happens, step-by-step, so you can walk into your next interview with confidence.

What Does "Number of Digits" Mean?

To understand the relationship between log10(n)\log_{10}(n) and the number of digits in nn, let's first define what "number of digits" means.

The number of digits dd in a positive integer nn is the count of individual symbols (0-9) required to write nn.

For example:

The number 5 has 1 digit.
The number 42 has 2 digits.
The number 987 has 3 digits.
The number 10234 has 5 digits.

If we look at the ranges of these numbers, we can generalize that the number of digits in nn corresponds to the powers of 10 that "contain" nn:

10d1n<10d{10^{d-1}}\leq{n}<{10^d}

For instance:

For 1-digit numbers, 1n<101 \leq n < 10 (i.e., n[1,9]n \in [1, 9])
For 2-digit numbers, 10n<10010 \leq n < 100 (i.e., n[10,99]n \in [10, 99])
For 3-digit numbers, 100n<1000100 \leq n < 1000 (i.e., n[100,999]n \in [100, 999])

Relating Digits to Base-10 Log

To see the link to logarithms, we can take the base-10 logarithm of the inequality:

log10(10d1)log10(n)<log10(10d){\log_{10}(10^{d-1}) \leq \log_{10}(n) < \log_{10}(10^d)}

Using the logarithmic identity log10(10x)=x\log_{10}(10^x) = x, this becomes:

d1log10(n)<dd-1 \leq \log_{10}(n) < d

This inequality tells us that log10(n)\log_{10}(n) lies between d1d-1 and dd. In other words, the floor of log10(n)\log_{10}(n) (i.e., the greatest integer less than or equal to log10(n)\log_{10}(n)) is exactly d1d - 1.

Extracting the Number of Digits from Base-10 Log

We now know that d1log10(n)<dd-1 \leq \log_{10}(n) < d, which means that:

log10(n)=d1\lfloor \log_{10}(n) \rfloor = d - 1

where x\lfloor x \rfloor denotes the "floor" function — the greatest integer less than or equal to xx.

To get the number of digits dd from log10(n)\log_{10}(n), we rearrange the equation:

d=log10(n)+1d = \lfloor \log_{10}(n) \rfloor + 1

This equation tells us that, to compute the number of digits of nn, we just need to take the floor of log10(n)\log_{10}(n) and add 1.

Example Walkthrough

Find the number of digits of 282^8

For n=28n = 2^8:

log10(28)=8log10(2)\log_{10}(2^8) = 8 \cdot \log_{10}(2)

Using the approximation log10(2)0.301\log_{10}(2) \approx 0.301:

80.301=2.4088 \cdot 0.301 = 2.408

Thus, the number of digits is:

d=2.408+1=3d = \lfloor 2.408 \rfloor + 1 = 3

Indeed, 28=2562^8 = 256 has 3 digits.

Find the number of digits of 121012^{10}

For n=1210n = 12^{10}:

log10(1210)=10log10(12)\log_{10}(12^{10}) = 10 \cdot \log_{10}(12)

Using the approximation log10(12)1.079\log_{10}(12) \approx 1.079:

101.079=10.7910 \cdot 1.079 = 10.79

Thus, the number of digits is:

d=10.79+1=11d = \lfloor 10.79 \rfloor + 1 = 11

Indeed, 1210=61,917,364,22412^{10} = 61,917,364,224 has 11 digits.

Find the number of digits of 1373137^3

For n=1373n = 137^3:

log10(1373)=3log10(137)\log_{10}(137^3) = 3 \cdot \log_{10}(137)

Using the approximation log10(137)2.137\log_{10}(137) \approx 2.137:

32.137=6.4113 \cdot 2.137 = 6.411

Thus, the number of digits is:

d=6.411+1=7d = \lfloor 6.411 \rfloor + 1 = 7

Indeed, 1373=2,571,353137^3 = 2,571,353 has 7 digits.

Why Does Base-10 Log "Give the Number of Digits Minus 1"?

At this point, the key observation is that since d=log10(n)+1d = \lfloor \log_{10}(n) \rfloor + 1, it follows that:

log10(n)=d1\lfloor \log_{10}(n) \rfloor = d - 1

This is why some people say that log10(n)\log_{10}(n) "gives the number of digits minus 1" — because the integer part of log10(n)\log_{10}(n) tells you "how many powers of 10 fit into nn".

To think about it intuitively, the value of log10(n)\log_{10}(n) is the "power of 10" needed to reach nn. For example:

log10(50)1.698\log_{10}(50) \approx 1.698, meaning that 50 is roughly between 10110^1 (10) and 10210^2 (100). This tells you that 50 has 2 digits, but the "raw" logarithm is close to 1.698, i.e., 1.698 powers of 10 are sufficient to reach 50.
log10(500)2.699\log_{10}(500) \approx 2.699, so 500 is in the range of 3-digit numbers. The logarithm tells you that roughly 2.7 powers of 10 are needed to get to 500, and since 2.699=2\lfloor 2.699 \rfloor = 2, it corresponds to d1d - 1 for a 3-digit number.

Key Takeaways

Number of Digits

To compute the number of digits dd of an integer nn, use:

d=log10(n)+1d = \lfloor \log_{10}(n) \rfloor + 1

This equation is essential for quant interviews where you might need to compute digit counts in your head.

Digits Minus 1

The "number of digits minus 1" is given directly by log10(n)\lfloor \log_{10}(n) \rfloor. This tells you how many powers of 10 "fit into" nn.

Use in Interviews

This concept is useful in mental math, especially in time complexity analysis (like the number of iterations in a binary search) and in number theory questions, where you might be asked to count digits or powers.

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